Optimizing the synthesis of terbium(III) molybdate nanoplates through an orthogonal array design

Abstract

The study focuses on the application of orthogonal array design for optimizing of the experimental parameters influencing the synthesis of terbium(III) molybdate nano‐plates through the direct precipitation method (DPM). The method conditions, included the concentrations of the cation and anion solutions (Cx and Cy), flow rate of adding the cation solution to that of the anion (Fx), and reactor temperature (Tz), were optimized in terms of the thickness of the produced nanoplates. Performing the analysis of variance (ANOVA) on the results revealed that the synthesis procedure can be optimized through using proper concentrations of the solutions (0.005 and 0.01 mol/L one‐to‐one for Tb(III) and MoO42−) as well as the reactor temperature (0 °C). The morphology and purity of the optimal product were also evaluated through X‐ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and fourier transform infrared spectroscopy (FT‐IR) spectroscopy. The results displayed that the thickness of the deposited terbium(III) molybdate nano‐plates is about 26 nm. The optimal product was also tested and found to be an efficient catalyst in the UV‐induced degradation of methyl orange (MO) by degrading about 97% MO after 80 min. © 2018 American Institute of Chemical Engineers Environ Prog, 38:e13091, 2019 Highlights Terbium(III) molybdate nanoplates were fabricated via chemical precipitation route. Nanomaterial was synthesized without any surfactant, template, or catalyst. Synthesis process was optimized by Taguchi design to prepare nanoplates. Product nanoplate were characterized by TEM, XRD, FT‐IR, and DRS. Nanoplates were examined as photocatalyst to degrade organic pollution in water.

Orthogonal Preparation of SrFeO3-δ Nanocomposites as Effective Oxygen Transfer Agents for Chemical-Looping Steam Methane Reforming

“…Because there are many synthesis parameters, optimizing the synthesis parameters is always formidably time-consuming and costly. To vary multiple factors simultaneously with a relatively small number of experimental runs and estimate separately the effect of each factor on a response variable, the orthogonal experiment design (also known as the Taguchi design method) was used in this work because it is a highly efficient approach to deal with multifactor experiments and identify the optimal levels (settings) by an orthogonal design table. − It selects representative points from full factorial experiments in such a way that they are uniformly distributed in the testing range. Thus, the points can represent the overall situation and are highly efficient for the arrangement of multifactor experiments.…”